Peer‐to‐peer load allocation using potential field concept for optimal operation of standalone microgrids. Issue 25 (7th December 2020)

• Record Type: Journal Article
• Authors: Shoeb, Md Asaduzzaman; Shahnia, Farhad; Shafiullah, G.M.
• Is Part Of: IET generation, transmission & distribution. Volume 14:Issue 25(2020)
• Page Start: 6061
• Page End: 6070
• Publication Date: 2020-12-07
• Subjects: distributed power generation -- optimisation -- power generation dispatch -- power generation reliability -- load regulation -- optimal control; standalone microgrid -- central controller -- local controllers -- distributed generators -- renewable generations -- load changes -- potential field concept -- generation units -- peer‐to‐peer load allocation; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2020.0996
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : The operation of a standalone microgrid is often optimised by the central controller that decides the set‐points of the local controllers of the distributed generators. However, the optimised set‐points may not remain optimal for a longer period due to the variability of loads and renewable generations. This study proposes a technique for readjusting the dispatch of the suitable generation units, between the optimisations carried out by the central controller, to support load changes. To this end, the potential field concept has been suggested to be adopted by the loads to select the appropriate generation units. The decision is made based on different criteria, such as their cost, reliability, emission, and power loss. This process requires low computational efforts, and thus, can act and make decisions immediately. This is valid as far as the change in the loads is not substantial. For a change above a predetermined level, the microgrid's central controller steps in to optimise the system. The central controller also performs the regular optimisation periodically to retune the whole system and reconfirm the optimal operation. The performance of the proposal has been evaluated by numerical analysis and validates the success and efficacy of the proposal.